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A lipid-structured model for macrophage populations in atherosclerotic plaques

Abstract:
Atherosclerosis is a chronic inflammatory disease driven by the accumulation of pro-inflammatory, lipid-loaded macrophages at sites inside artery walls. These accumulations lead to the development of atherosclerotic plaques. The rupture of plaques that contain lipid-rich necrotic cores can trigger heart attacks and strokes via occlusion of blood vessels. We construct and analyse a system of partial integro-differential equations that model lipid accumulation by macrophages, the generation of apoptotic cells and the formation of the necrotic core. The model accounts for the following cell behaviours: monocyte recruitment into the plaque and differentiation into macrophages; macrophage ingestion of low density lipoproteins (LDL) and of apoptotic cells and necrotic material; lipid offloading to high density lipoproteins (HDL); macrophage emigration; and apoptosis of macrophages and necrosis of apoptotic cells. With this model, we study how changes in parameters predict the characteristic features of plaque pathology. In particular, we find the qualitative form of lipid distribution across the macrophage population and show that high lipid loads can occur in the absence of LDL ingestion. We also demonstrate the importance of macrophage emigration in mitigating and resolving inflammation and plaque lipid accumulation.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.jtbi.2019.07.003

Authors


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Institution:
University of Oxford
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Oxford college:
Keble College
Role:
Author
ORCID:
0000-0003-1771-5910


Publisher:
Elsevier
Journal:
Journal of Theoretical Biology More from this journal
Volume:
479
Pages:
48-63
Publication date:
2019-07-15
Acceptance date:
2019-07-05
DOI:
EISSN:
1095-8541
ISSN:
0022-5193
Pmid:
31319051


Language:
English
Keywords:
Pubs id:
pubs:1035193
UUID:
uuid:0e079909-aeb4-4db5-b0a1-7c4ef50a981a
Local pid:
pubs:1035193
Source identifiers:
1035193
Deposit date:
2019-08-02

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